The phrase "amplitude of the data" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or signal processing, where amplitude refers to the magnitude or strength of a signal or data point.
Example: "The amplitude of the data collected during the experiment showed significant variation, indicating potential anomalies in the results."
Alternatives: "magnitude of the data" or "strength of the data".
The EEMD, which is more robust than EMD, is still affected by the perturbations on the amplitude of the data.
As Iinuma et al. (2012) pointed out, the model error of the response matrix due to spatial heterogeneity might be up to 10%% of the amplitude of the data.
The amplitude of the data signals are certain to be subject to the volume of instilled pleural fluid and the application of PEEP, as well as by the nature of the model itself.
The variance reduction is defined as: {VR}_ileft(boldsymbol{m}right)=1-frac{int_{-infty}^{infty }{w}_i(t){left[d(t -sleft t,boldsymbol{m}right -sleft t2 dt}{int_{-infty}^{infty }{w}_i(t){left[d(t)right]}^2 dt}mathrm{forthe}imathrm{thwindow}{w}_i(t),boldsymbol{m}rightthe amplitude of the data and s(t, m) is the synthetic waveforight model m.
Power spectra were normalized to the mean square amplitude of the data.
The relationship between amplitude and logMAR acuity is linear even though the VA and amplitude of the data we collected from 2007 to 2009 in amblyopic groups were much lower and not evenly distributed.
Magnitudes of the aftershocks were estimated using the maximum amplitudes of the data recorded by the land array (Watanabe, 1971).
All the SNR values fluctuate between 20 and 55 dB. Figure 4b depicts the rearranged amplitude of these data according to the sine of elevation angles after the filter is used.
In order to facilitate later data processing, we set amplitude of the simulation data to 1.
The mean RMS of the three MVIC trials for every muscle was used to provide a basis for EMG signal amplitude normalization of the data of the experimental exercises.
In the description of time series we involve clustering techniques and build information granules in the representation space (viz. the space of amplitude and change of amplitude) of the temporal data.
